Objective: To explore the longitudinal relationship between bullying victimization and sleep quality among rural boarding junior high school students in Hebei Province, and to investigate the chain mediated role of loneliness and rumination, so as to provide evidence for promoting sleep health in the population. Methods: A baseline survey was conducted in May, 2023 (T1) by convenient sampling method, and two rounds of longitudinal surveys were conducted in November, 2023 (T2) and May, 2024 (T3) among students in two rural boarding junior high schools in Hebei Province, and a sample of 601 students who completed all the surveys was finally obtained. Students completed questionnaires, including the Delaware Bullying Victimization Scale Student (DBVS-S), the University of California at Los Angeles Loneliness Scale (UCLA), the Ruminative Responses Scale, and the Pittsburgh Sleep Quality Index (PSQI). Group differences were examined by using t-test or ANOVA, correlations between variables were analyzed by using Pearson correlation coefficients, and a serial mediation structural equation model was constructed, with mediation effects tested via the Bootstrap method. Results: Female students scored higher on sleep quality than male students (7.47±2.70, 6.47 ±2.46, t =4.74, P <0.01). Pearson correlation analysis indicated that bullying victimization was positively correlated with loneliness, rumination, and sleep quality; loneliness was positively correlated with rumination and sleep quality; and rumination was positively correlated with sleep quality ( r =0.26, 0.33, 0.23; 0.39, 0.38; 0.54, all P <0.01). Mediation analysis showed that T2 loneliness had an independent mediating effect of 0.70 (95% CI =0.36-1.35) between T1 bullying victimization and T3 sleep quality, T2 rumination had an independent mediating effect of 1.34 (95% CI =0.71-2.45), and the serial mediation effect of T2 loneliness and T2 rumination was 0.64 (95% CI =0.37-1.13), accounting for 22.11% of the total effect (all P <0.01). Conclusions Bullying victimization adversely affects sleep quality among rural boarding junior high school students through a longitudinal chain mediating pathway involving loneliness and rumination. Psychological interventions should be strengthened for students who experience bullying to alleviate their loneliness and reduce rumination, thereby improving sleep quality.

This paper summarizes the clinical experience in the syndrome differentiation and treatment of rosacea using the method of venting heat and resolving stagnation. It is considered that the key pathogenesis of rosacea is the accumulation of heat with stagnation. Accordingly， the method of venting heat and resolving stagnation is proposed， which vents and disperses constraint heat by applying approaches such as dredging defensive qi， clearing qi， venting ying （营） level， and cooling blood， while eliminating stagnation and masses through regulating qi， resolving dampness， dispelling phlegm and removing stasis. In clinical practice， a core prescription for venting heat and resolving stagnation is formulated， with flexible modifications made according to the clinical characteristics of different rosacea subtypes， including erythematotelangiectatic， papulopustular， phymatous， and ocular types， thereby providing therapeutic insights for the treatment of rosacea with traditional Chinese medicine.

Objective: To investigate follow-up participation situation, negative conversion, and tuberculosis incidence among boarding junior and senior high school freshmen with latent tuberculosis infection(LTBI) in Zhuhai, so as to provide a reference for better LTBI management in school settings. Methods: A prospective cohort study enrolled 413 LTBI and 27 184 non LTBI boarding junior and senior high school freshmen in Zhuhai from September to October 2023. The LTBI group underwent follow up retesting at >3-6, >6-12, >12-24, >24 months after screening. The followup content included mycobacterium tuberculosis infection testing,chest X ray examination,and questionaire survey(basic demographic information, lifestyle, history of close contact with tuberculosis, and suspected symptoms of pulmonary tuberculosis). Follow-up participation, negative conversion, and tuberculosis incidence were analyzed. Rate was compared by using the Chi-square test, and factors associated with negative conversion were assessed by multivariate Logistic regression analysis. Results: Follow-up participation rates increased initially and then declined, with rates of 25.67% within >3-6 months, 37.05% within >6-12 months, 82.02% within >12-24 months, and 52.21% after 24 months. The overall negative conversion rate was 61.03%. The differences in the conversion rate to negative of mycobacterium tuberculosis infection detection among junior and senior high school freshmen in the LTBI group by different testing methods, school types, smoking history, sleep status, and academic stress were all statistically significant( χ 2=124.96, 22.70, 4.71, 6.31, 6.08, all P <0.05). Multivariate Logistic regression analysis identified testing methods, smoking history, and sleep status as factors associated with negative conversion ( OR =1.90-21.67, all P <0.05). The cumulative incidence of tuberculosis was 726.39 per 100 000 in the LTBI group versus 14.71 per 100 000 in the non-LTBI group ( RR =49.37, 95% CI =11.08-219.87, P <0.01). Conclusions Boarding junior and senior high school freshmen with LTBI in Zhuhai have a higher risk of tuberculosis than concurrent non-LTBI students; they therefore represent a priority group for tuberculosis prevention and control. Centralized follow up is recommended to improve participation, and high specificity methods should be used in follow up retesting and maintain consistency across assessments.

Metabolic dysfunction-associated fatty liver disease （MAFLD） has become the leading chronic liver disease worldwide. As a classic food-medicine homologous Chinese herb， hawthorn fruit has the functions of promoting digestion to resolve food stagnation and activating blood circulation to resolve blood stasis. Modern pharmacological studies have shown that hawthorn fruit and its active components exert diverse pharmacological activities in regulating lipid metabolism， improving insulin resistance， inhibiting inflammatory response， delaying hepatic fibrosis， and protecting hepatocytes. These effects precisely match the “multiple-hit” pathological features of MAFLD， and thus hawthorn fruit shows significant advantages in the prevention and treatment of MAFLD. Drug pair combination is a key strategy in traditional Chinese medicine to enhance efficacy and reduce toxicity. In clinical practice， hawthorn fruit is often combined with Salvia miltiorrhiza， Alisma orientalis， cassia seed， and Poria cocos， and such combination adheres to the principle of “mutual reinforcement and assistance” to enhance efficacy and expand their application in different syndromes of MAFLD. This article systematically reviews the core pharmacological mechanisms of hawthorn fruit in intervening against MAFLD and the research advances in its classic drug combinations， in order to provide a scientific reference for the in-depth development of hawthorn fruit and its combinations and the precise clinical intervention of MAFLD.

Prescription optimization is a crucial aspect in the study of traditional Chinese medicine （TCM） compounds. In recent years， the introduction of mathematical methods， data mining techniques， and artificial neural networks has provided new tools for elucidating the compatibility rules of TCM compounds. The study of TCM compounds involves numerous variables， including the proportions of different herbs， the specific extraction parts of each ingredient， and the interactions among multiple components. These factors together create a complex nonlinear dose-effect relationship. In this context， it is essential to identify methods that suit the characteristics of TCM compounds and can leverage their advantages for effective application in new drug development. This paper provided a comprehensive review of the cutting-edge optimization experimental design methods applied in recent studies of TCM compound compatibilities. The key technical issues， such as the optimization of source material selection， dosage optimization of compatible herbs， and multi-objective optimization indicators， were discussed. Furthermore， the evaluation methods for component effects were summarized during the optimization process， so as to provide scientific and practical foundations for innovative research in TCM and the development of new drugs based on TCM compounds.

ObjectiveTo evaluate the clinical efficacy and safety of Baoshen prescription in the treatment of stage Ⅳ diabetic nephropathy （DN） in the patients with syndromes of Qi-Yin deficiency and kidney collateral stasis and obstruction， and to explore the mechanism of this prescription delaying the disease progression. MethodsA randomized， controlled， double-blind， multicenter clinical trial was conducted， in which 94 stage Ⅳ DN patients with syndromes of Qi-Yin deficiency and kidney collateral stasis and obstruction were randomly assigned into Baoshen prescription and control groups （47 cases）. The treatment lasted for 12 weeks. The primary efficacy indicators were mainly renal function indexes， including urine albumin-to-creatinine ratio （UACR）， 24-hour urine total protein （24 h-UTP）， serum creatinine （SCr）， and estimated glomerular filtration rate （eGFR）. The secondary efficacy indicators were metabolic memory of hyperglycemia， podocyte epithelial-to-mesenchymal transdifferentiation-related indexes， and TCM syndrome score. ResultsAfter 12 weeks of treatment， the Baoshen prescription group showed lowered levels of advanced glycation end products （lgAGEs）， connective tissue growth factor （CTGF）， type Ⅳ collagen （Col-Ⅳ）， receptor of AGEs （RAGE）， urinary fibroblast-specific protein-1 （FSP-1）， UACR， 24 h-UTP， and glycated hemoglobin （HbAlc） （P<0.05）， and an upward trend of miR-21 mRNA. The control group showed elevated levels of SCr and UREA and lowered levels of urinary FSP-1， eGFR， and HbAlc （P<0.05）. After treatment， the Baoshen prescription group had lower levels of lgAGEs， CTGF， urinary FSP-1， SCr， UACR， and 24 h-UTP and higher levels of Col-Ⅳ and eGFR than the control group （P<0.05）. In addition， the Baoshen prescription group showed statistically significant differences in SCr， eGFR， UACR， and 24 h-UTP before and after treatment （P<0.05）. ConclusionBaoshen prescription can effectively improve the renal function， reduce the urinary protein level， and alleviate clinical symptoms in stage Ⅳ DN patients with syndromes of Qi-Yin deficiency and kidney collateral stasis and obstruction. The mechanism may be related to the metabolic memory of hyperglycemia and epithelial-to-mesenchymal transdifferentiation of podocytes.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

ObjectiveTo investigate the effect of gallic acid （GA） on the proliferation， migration， invasion， and apoptosis of human hepatocellular carcinoma HepG2 cells and its mechanism. MethodsHepG2 cells were treated with different concentrations of GA （0， 5， 10， 20， 30， 40， and 50 μg/mL） for 24 and 48 hours， and CCK8 assay was used to measure cell viability and calculate IC₅₀. The experiment was divided into control group （HepG2 cells）， 5 μg/mL GA group， 10 μg/mL GA group， and 20 μg/mL GA group. Plate colony formation assay was used to evaluate the effect of GA on cell proliferation； wound healing assay and Transwell chamber assay were used to observe the effect of GA on cell migration and invasion； flow cytometry was used to observe the effect of GA on cell apoptosis； Western blot was used to measure the expression of matrix metallopeptidase-2 （MMP-2）， matrix metallopeptidase-9 （MMP-9）， and apoptosis-related proteins. A one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsThe mean IC₅₀ value of GA on HepG2 cells was 38.02±2.58 μg/mL at 24 hours and 18.36±1.54 μg/mL at 48 hours. The number of cell colonies was 239.00±29.45 in the control group， 210.00±19.00 in the 5 μg/mL GA group， 144.33±16.03 in the 10 μg/mL GA group， and 57.00±9.55 in the 20 μg/mL GA group， suggesting that compared with the control group， each GA group had a significant reduction in cell colony formation ability （all P<0.05）. After 24 hours of treatment， the cell migration rate was 42.62%± 7.82% in the control group， 35.34%±6.42% in the 5 μg/mL GA group， 21.85%±4.42% in the 10 μg/mL GA group， and 12.57%± 3.54% in the 20 μg/mL GA group， respectively， in these four groups， and the number of transmembrane cells in these four groups was 230.30±15.30， 182.12±12.60， 137.20±7.50， and 124.40±6.80， respectively， suggesting that compared with the control group， each GA group had significant reductions in migration rate and the number of transmembrane cells （all P<0.05）. After 48 hours of treatment， the cell apoptotic rate was 0.67%±0.08% in the control group， 13.27%±1.07% in the 5 μg/mL GA group， 20.94%± 2.45% in the 10 μg/mL GA group， and 40.74%±2.63% in the 20 μg/mL GA group， and compared with the control group， each GA group had a significant increase in cell apoptosis rate （all P<0.05）. Compared with the control group， each GA group had significant reductions in the protein expression levels of MMP-2 and MMP-9 （all P<0.05） and significant increases in the protein expression levels of Bax and cleaved caspase-3 （all P<0.05）. ConclusionGA can inhibit the proliferation， migration， and invasion of HepG2 cells and promote the apoptosis of HepG2 cells， possibly by regulating MMP-2， MMP-9， and the apoptosis-related proteins Bax/Bcl-2.

Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for reconstruction CT images of phantoms.Methods AIIR was developed through combining model-based iterative reconstruction(MBIR)with deep learning(DL)techniques.CT scanning of CCT MITA IQ phantom,CT ACR 464 phantom,Catphan 700 phantom,disc stack phantom and CT PBU-60 whole body phantom were performed,and the images were reconstructed with conventional algorithms like filtered back projection(FBP)and KARL 3D iterative reconstruction,as well as AIIR,respectively.Then the noise,X-ray dosage,as well as low contrast resolution,high contrast spatial resolution,cone-beam artifacts and streaking artifacts of various reconstructed images were compared.Results Compared to CT images reconstructed with conventional algorithms,those reconstructed with AIIR showed 61.74％—99.76％ reduction of image noise and 60.00％—90.00％ reduction of X-ray dosage,while increased image low contrast resolution to 1.99-4.86 times and high contrast spatial resolution to 1.55-2.57 times.Additionally,AIIR significantly reduced cone-beam artifacts and streaking artifacts.Conclusion AIIR showed obvious advantages for reconstruction CT images of phantoms compared with conventional algorithms.

Objective:To screen for microRNAs(miRNAs)highly expressed in the serum exosomes(Exo)of esophageal squamous cell carcinoma(ESCC)patients and analyze their relationship with the clinicopathological characteristics of the patients,and to explore the potential of Exo-derived miRNAs as clinical auxiliary diagnostic markers for ESCC.Methods:Serum and relevant clinical data of 50 healthy subjects and 45 newly diagnosed ESCC patients admitted to the Fourth Hospital of Hebei Medical University between December 2021 and June 2023 were collected,serving as the control group and the ESCC group respectively.The Gene Expression Omnibus(GEO)database and qPCR were used to screen and identify the candidate miRNA for increased expression in the serum of ESCC patients-miR-1246.The diagnostic efficacy of serum miR-1246 for ESCC was analyzed by the receiver operating characteristic curve.The relationship between miR-1246 and the clinical feature progression of ESCC patients was analyzed by Logistic regression,and the relationship between miR-1246 and the clinicopathological characteristics of ESCC patients was analyzed by the χ2 test.Exosomes in the serum of the subjects were isolated,purified and characterized for verification.The expression of miR-1246 in Exo was detected by qPCR.ESCC KYSE150 and KYSE30 cells were routinely cultured.mimics-NC and miR-1246 mimics were transfected respectively into KYSE150 cells using Lipofectamine 2000.Inhibitor-NC and miR-1246 inhibitor were transfected into KYSE30 cells,which were respectively denoted as the minics-NC,miR-1246 mimics,inhibitor-NC and miR-1246-inhibitor groups.KYSE150 and KYSE30 cells were treated with Exo derived from KYSE150 cells in the mimics-NC and miR-1246 mimics groups.The proliferation,migration and invasion abilities of cells in each group were detected by the CCK-8 assay,scratch wound healing assay and Transwell chamber assay respectively.The expressions of Exo markers,epithelial-mesenchymal transition-related proteins,TET family methylcytosine dioxygenase 2(TET2)and cell adhesion molecule 1(CADM1)proteins in each group of cells were detected by WB assay.The targeting binding relationship between miR-1246 and TET2 and CADM1 was verified by the dual-luciferase reporter gene assay.Results:Bioinformatics screening showed that the miRNA with the most significant differential expression in the serum of ESCC patients was miR-1246.The serum Exo extracted from the patients conformed to the typical Exo characteristics.The expression level of serum Exo-miR-1246 in ESCC patients at stages Ⅰ-Ⅱ was significantly higher than that in healthy subjects(P<0.01);the level of serum Exo-miR-1246 in ESCC patients at stages Ⅲ-Ⅳ was significantly higher than that in patients at stages Ⅰ-Ⅱ(P<0.01).ROC curve analysis showed that Exo-miR-1246 in serum had a high value for auxiliary differential diagnosis of ESCC(P<0.05),and the auxiliary diagnostic efficacy of Exo-miR-1246 for the clinical progression of ESCC patients was higher than that of CEA and SCC-Ag(P<0.05).The combined detection of the three could further improve the efficacy of auxiliary diagnosis of patient staging(P<0.01).Exo-miR-1246 might be an independent risk factor for the clinical progression of ESCC patients(P<0.05).The expression level of serum Exo-miR-1246 was associated with the T-stage,N-stage and clinical stage of ESCC(P<0.01).Overexpression of miR-1246 could promote the proliferation,migration,invasion,epithelial-mesenchymal transition and inhibit apoptosis of ESCC cells,while inhibition of miR-1246 had the opposite effect.Database data analysis found that TET2 and CADM1 were the target genes of miR-1246.The dual-luciferase reporter gene assay confirmed that miR-1246 could directly bind to TET2 and CADM1 mRNA and inhibit their expressions(P<0.01).Treatment of KYSE150 and KYSE30 cells with Exo derived from cells overexpressing miR-1246 had the same effect as overexpressing miR-1246 in these cells.Conclusion:Exo-derived miR-1246 has the potential to be a clinical auxiliary diagnostic marker for ESCC.It may affect the occurrence and development of ESCC by regulating the expression levels of TET2 and CADM1.